CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 2006 vol.28 Issue No.04 - April
Issue No.04 - April (2006 vol.28)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPAMI.2006.68
This paper presents a novel and efficient texture-based method for modeling the background and detecting moving objects from a video sequence. Each pixel is modeled as a group of adaptive local binary pattern histograms that are calculated over a circular region around the pixel. The approach provides us with many advantages compared to the state-of-the-art. Experimental results clearly justify our model.
Motion, texture, background subtraction, local binary pattern.
Marko Heikkil?, "A Texture-Based Method for Modeling the Background and Detecting Moving Objects", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.28, no. 4, pp. 657-662, April 2006, doi:10.1109/TPAMI.2006.68